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Computational aspects of DNA mixture analysis

Abstract:

Statistical analysis of DNA mixtures is known to pose computational challenges due to the enormous state space of possible DNA profiles. We propose a Bayesian network representation for genotypes, allowing computations to be performed locally involving only a few alleles at each step. In addition, we describe a general method for computing the expectation of a product of discrete random variables using auxiliary variables and probability propagation in a Bayesian network, which in combination...

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Publisher copy:
10.1007/s11222-014-9451-7

Authors


Journal:
Statistics and Computing
Publication date:
2013-07-18
DOI:
EISSN:
1573-1375
ISSN:
0960-3174
Source identifiers:
414388
Keywords:
Pubs id:
pubs:414388
UUID:
uuid:9fa9ee8d-9d9a-47b6-a658-090cd9a23b35
Local pid:
pubs:414388
Deposit date:
2013-11-17

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